Computer Science and Engineering (Data Science)

  1. Academic Schools
  2. School of Computer Engineering
  3. Computer Science and Engineering (Data Science)
  4. PEO PO and PSO

PEO PO AND PSO

SR.NO. PROGRAMME EDUCATIONAL OBJECTIVES (PEOS)
PEO 1 Data Science graduates will emerge as proficient and successful professionals, equipped with a solid foundation in data science and computer science, contributing invaluable technical expertise to the domain.
PEO 2 Graduates will possess the capability to address techno-socio-economic challenges by delivering data-driven solutions within multidisciplinary environments by utilizing their social, communicative, and ethical principles
PEO 3 Graduates will continuously update their knowledge of technological developments, readily embrace new tools and techniques in data science, develop strong managerial competencies, and contribute effectively to multidisciplinary teams.

PROGRAMME OUTCOMES

SR.NO. PROGRAMME OUTCOMES (POS)
POs 1 Engineering Knowledge: Apply the knowledge of mathematics, science, and engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
POs 2 Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.PROBLEM ANALYSIS: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
POs 3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
POs 4 Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.CONDUCT INVESTIGATIONS OF COMPLEX PROBLEMS: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
POs 5 Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
POs 6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
POs 7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
POs 8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
POs 9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
POs 10 Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
POs 11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. PROJECT MANAGEMENT AND FINANCE: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
POs 12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OUTCOMES

SR.NO. PROGRAM SPECIFIC OUTCOMES (PSOS)
PSO 1 Data handling Skills: Demonstrate mastery in collecting, processing, and analyzing complex datasets using cutting-edge tools and techniques
PSO 2 Competency Development: Excel in communicating data findings effectively through visualizations, reports, and presentations, translating technical insights that facilitate understanding and drive organizational strategy across various stakeholders.
PSO 3 Application Development Skills: Develop advanced skills in machine learning algorithms, enabling them to build predictive models, classify data, and automate processes to satisfy industry demand
PSO 4 Ethical Development: Provide strong ethical foundation, ensuring graduates uphold principles of data privacy, fairness, and transparency.